brazil-degradation/01B_fragmentation_edgeArea_v2.js at main · dirceu-jr/brazil-degradation · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
// ecosystem fragmentation - edge effect // gt degradaçao - mapbiomas //
// any issue, bug or report write to dhemerson.costa@ipam.org.br and/or mrosa@arcplan.com.br

// set version
var collectionId = 10
var version = 1;

// -- * definitions
// set classes in which edge area will be applied
// 3 (forest), 4 (savanna), 5 (mangrove), 6 (flooded forest), 11 (wetland), 12 (grassland)
var native_classes = {
  'amazonia':       [3, 4, 5, 6, 11, 12, 49, 50],
  'caatinga':       [3, 4, 5, 11, 12, 49, 50],
  'cerrado':        [3, 4, 5, 11, 12, 49, 50],
  'mata_atlantica': [3, 4, 5, 11, 12, 49, 50],
  'pampa':          [3, 4, 5, 11, 12, 49, 50],
  'pantanal':       [3, 4, 5, 11, 12, 49, 50]
};

// dset classes to be ignored (which doesn't produces edge area)
// 13 (other non forest), 29 (rocky outcrop), 32 (hypersaline tidal flat), 33 (water)
var ignore_classes = {
  'amazonia':       [13, 29, 32, 33],
  'caatinga':       [13, 29, 32, 33],
  'cerrado':        [13, 29, 32, 33],
  'mata_atlantica': [13, 29, 32, 33],
  'pampa':          [13, 29, 32, 33],
  'pantanal':       [13, 29, 32, 33]
};

// Set years to be processed
var years_list = [1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995,
                  1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006,
                  2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017,
                  2018, 2019, 2020, 2021, 2022, 2023, 2024];

// read biomes
var biomes = ee.Image('projects/mapbiomas-workspace/AUXILIAR/biomas-2019-raster');
//Map.addLayer(biomes.randomVisualizer(),{}, 'Biomas');

// build biomes dictionary
var biomes_name = ['amazonia', 'caatinga', 'cerrado', 'mata_atlantica', 'pampa', 'pantanal'];
var biomes_dict = {
  'amazonia':       1,
  'caatinga':       5,
  'cerrado':        4,
  'mata_atlantica': 2,
  'pampa':          6,
  'pantanal':       3
};

// for each year
years_list.forEach(function(year_j) {

  // build recipes
  var edge_degrad_year = ee.Image(0);

  // read collection
  var collection = ee.Image('projects/mapbiomas-public/assets/brazil/lulc/collection10/mapbiomas_brazil_collection10_integration_v2')
    .select('classification_' + year_j);
    //.blend(dnit_roads);

  // for each biome, compute fragmentation by using specific criteria
  biomes_name.forEach(function(biome_k) {
      // get native vegetation map
    var native_mask = collection
      .remap({from: native_classes[biome_k].concat(ignore_classes[biome_k]),
              to: native_classes[biome_k].concat(ignore_classes[biome_k]),
              defaultValue: 21
      })
      // add infrastructure
      //.blend(dnit_roads.remap([1], [21]))
      .updateMask(biomes.eq(biomes_dict[biome_k]));

    // mask collection to retain raw classes
    var collection_i = collection.updateMask(native_mask.neq(21));
    //Map.addLayer(collection_i.randomVisualizer(), {}, year_i + ' ' + distance_i + ' ' + biome_k);

    // -- * get edge effect
    // retain anthropogenic classes to be used as reference for the edge
    var anthropogenic = native_mask.updateMask(native_mask.eq(21));

    // compute edge
    var edge = anthropogenic.distance(ee.Kernel.euclidean(7500, 'meters'), false);

    // remove edges over ignored classes
    ignore_classes[biome_k].forEach(function(class_m) {
      edge = edge.updateMask(collection_i.neq(class_m));
    });

    // limit to 7km
    edge_degrad_year = edge_degrad_year.updateMask(edge_degrad_year.lte(7000));

    // blend edge into recipe
    edge_degrad_year = edge_degrad_year.blend(edge).selfMask();
    //edge_degrad = edge_degrad.addBands(edge_estimate);

  });

  // Retain classes from edge and store into recipe
  var edge_degrad_year = edge_degrad_year
    .rename('edge_' + year_j);

  edge_degrad_year = edge_degrad_year.set('territory', 'BRAZIL')
                                      .set('collection_id', collectionId)
                                      .set('version', version)
                                      .set('year', year_j)
                                      .set('description', 'EDGE AREA');


  Map.addLayer(edge_degrad_year.round().int16(), {palette:['red', 'yellow', 'green'], min:1, max:7000}, String(year_j));

  // Edge area
  Export.image.toAsset({
  	image: edge_degrad_year.round().int16(),
    description: 'EDGE-AREA' + '-' + year_j + '-' + version,
    assetId: 'projects/mapbiomas-brazil/assets/DEGRADATION/COLLECTION-10/edge-area/' +  'EDGE-AREA' + '-' + year_j + '-' + version,
    region: biomes.geometry(),
    scale: 30,
    maxPixels: 1e13,
    priority: 999
  });


});